In recent years, low-resolution converters have been introduced in many communication systems and their corresponding algorithms [1]}, [2]}, [3]}, [4]}, [5]}, [6]}, [7]}, [8]}, [9]}.
The authors in [3]} employed artificial noise to precisely learn the likelihood probabilities for maximum likelihood detection under one-bit ADCs.
In [4]}, computation of soft metrics with one-bit observations and its application to channel coding were presented.
A hybrid MIMO architecture with resolution-adaptive ADCs for
millimeter wave communication was developed in [12]}.
Linear estimation and model-based deep neural networks approach were combined in [7]} for data detection with one-bit ADCs.
Considering different traffic load requirements of IoT devices, the authors in [8]} developed a grant-free access scheme for massive MIMO systems with mixed-ADC access points (APs).
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